Loughborough University
12 files

Persona-Technology footprint: an evaluation of 144 student’s perception of a person using assistive technology

posted on 2018-12-20, 16:14 authored by George TorrensGeorge Torrens, Ian Storer, Salman Asghar, Ruth WelshRuth Welsh, Karl HurnKarl Hurn

The persona-technology footprint is the visual balance between the enabling technologies associated with an individual and the person. This design heuristic enables a practitioner to quickly assess the area of visible technology compared with that of the person. The objective of a designer is to minimise the perceived technology and emphasise the personality of the individual. This study looks to provide detail about the visual balance between areas of a person covered by assistive technology and which areas of a person it is important to ensure are visible. A survey of 144 undergraduate design students involved them choosing where they considered they no longer saw ‘the person’, due to them being covered by assistive technology. This involved three different line drawings: one that had different sections of the person’s profile blacked out to represent the presence of equipment in front of the person; the second with the outer profile of the person visually broken by the overlapping blacked section; and, a line drawing of a person’s head with blacked out sections that both covered areas of the head and broke the outer profile. The points chosen by students were collated and processed statistically using ANOVA. In all three choices, students chose the point where the person was covered up to the point of their eyes being covered. This suggests we view another person’s eyes to represent them more than any other part of their body. Further studies are required to explore this outcome.

Eye-tracking experiment was conducted which provides further insights from eye-movement data of the participants, when making selection between the presented choices.

This data-set contains files form the eye-tracking experiment including; images to show defined Areas of Interests (AOI), heatmaps from the experiment, as well as videos to present, how pattern of heatmaps and gaze sequence were developed for different choices. Additionally, the screenshots provide the nomenclature used to denote each AOI for the experiment. Lastly, the results were extracted from the experiment in the form of raw files (raw data-set), and further processed to streamline the relevant data (event statistics, all participants). The files named as; larger AOI and integrated AOI, shows summarised outcomes from the eye-tracking experiment.



  • Design